related work and intro first draft from toni
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DUMMY ABSTRACT. We present an indoor localisation system that integrates different sensor modalities,
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namely Wi-Fi, barometer, iBeacons, step- and turn-detection for localisation of pedestrians within buildings
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over multiple floors. To model the pedestrian's movement, which is constrained by walls and other obstacles,
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we propose a state transition based upon random walks on graphs. \sout{This model also frees us from the burden of
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frequently updating the system.}
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we propose a state transition based upon random walks on graphs.
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%This model also frees us from the burden of frequently updating the system.
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In addition we make use of barometer information to estimate the current floor.
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\commentByFrank{entweder alle sensoren nennen, oder weglassen? sonst wirkt es nicht schluessig}ds
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Furthermore, we present a statistical approach to avoid the incorporation of faulty heading information caused
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